NCJ Number
305265
Journal
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Dated: 2022
Date Published
2022
Annotation
The purpose of this study was to develop a predictive model to generate representative 3D pediatric femur models for age 0–3 years based on child characteristics.
Abstract
Computed tomography (CT) images of 79 decedent (age 0–3 years) femurs were used to develop a statistical shape model characterising femur shape. A regression model predicted shape parameters from child characteristics (age, height, and weight). The predictive model demonstrated good fit (R2 = 0.976) in predicting femur shape (surface coordinates) in the test set (n = 17) and thus, can be used to generate representative 3D paediatric femur models in the absence of CT imaging. (Publisher abstract provided)
Date Published: January 1, 2022
Downloads
Similar Publications
- Forensic Handwriting Examination and Human Factors: The Report of the Expert Working Group for Human Factors in Handwriting Examination
- The Reliability of Pattern Classification in Bloodstain Pattern Analysis-PART 2: Bloodstain Patterns on Fabric Surfaces
- GC-MS and GC-IRD studies on the six-ring regioisomeric dimethoxybenzylpiperazines (DMBPs)